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Restriction spectrum imaging improves MRI-based prostate cancer detection


Restriction spectrum imaging improves MRI-based prostate cancer detection

Published On

April 11, 2017

Publication Details


Purpose—To compare the diagnostic performance of restriction spectrum imaging (RSI), with that of conventional multi-parametric (MP) magnetic resonance imaging (MRI) for prostate cancer (PCa) detection in a blinded reader-based format.


Three readers independently evaluated 100 patients (67 with proven PCa) who underwent MP-MRI and RSI within 6 months of systematic biopsy (N = 67; 23 with targeting performed) or prostatectomy (N = 33). Imaging was performed at 3 Tesla using a phased-array coil. Readers used a five-point scale estimating the likelihood of PCa present in each prostate sextant. Evaluation was performed in two separate sessions, first using conventional MP-MRI alone then immediately with MP-MRI and RSI in the same session. Four weeks later, another scoring session used RSI and T2-weighted imaging (T2WI) without conventional diffusionweighted or dynamic contrast-enhanced imaging. Reader interpretations were then compared to prostatectomy data or biopsy results. Receiver operating characteristic curves were performed, with area under the curve (AUC) used to compare across groups. 


MP-MRI with RSI achieved higher AUCs compared to MP-MRI alone for identifying high-grade (Gleason score greater than or equal to 4 + 3=7) PCa (0.78 vs. 0.70 at the sextant level; P < 0.001 and 0.85 vs. 0.79 at the hemigland level; P = 0.04). RSI and T2WI alone achieved AUCs similar to MP-MRI for high-grade PCa (0.71 vs. 0.70 at the sextant level). With hemigland analysis, high-grade disease results were similar when comparing RSI + T2WI with MP-MRI, although with greater AUCs compared to the sextant analysis (0.80 vs. 0.79). 


Including RSI with MP-MRI improves PCa detection compared to MP-MRI alone, and RSI with T2WI achieves similar PCa detection as MP-MRI. 


Prostate MRI; Prostate cancer; Diffuse weighted imaging; Restriction spectrum imaging; Prostate diffusion imaging 

Prostate cancer (PCa) is the most commonly diagnosed noncutaneous malignancy and second leading cause of cancer death for men in the United States [1]. Magnetic resonance imaging (MRI) has proven useful for PCa detection, localization, and staging, and most recently has demonstrated value for guiding prostate biopsy when fused with ultrasound [2– 5]. Conventional multi-parametric (MP) MRI, including diffusion-weighted imaging (DWI), dynamic contrast enhancement (DCE), and standard anatomic imaging consisting of T1- (T1WI) and T2-weighted imaging (T2WI) has produced the most consistent results to date and serves as the standard-of-care for in situ PCa imaging [2, 3, 6, 7]. However, improved PCa detection by MRI is the goal of considerable ongoing effort. 

Conventional DWI is arguably the most important contributor of the individual MP-MRI components for PCa detection, outperforming standard anatomic imaging, and DCE methodologies [3, 7–12]. Diffusion techniques are particularly attractive because they are rapid and utilize inherent tissue contrast properties, not requiring intravenous gadolinium agents with their associated risk, cost, and inconvenience. However, conventional DWI is limited in many contexts commonly encountered in the prostate, including hemorrhage, infection, and inflammation. An additional significant limitation of conventional DWI is its frequent degradation by marked spatial distortion [13]. Improvements in DWI technique may substantially improve the clinical utility of PCa imaging. 

Restriction spectrum imaging (RSI) [14] is an innovative, advanced diffusion sequence that aims to improve upon the strengths and address the shortcomings of conventional DWI in McCammack et al. Page 2 Abdom Radiol (NY). Author manuscript; available in PMC 2017 April 11. Author Manuscript Author Manuscript Author Manuscript Author Manuscript oncologic imaging [15, 16]. It uses the data obtained from an extended range of multiple b value, multidirectional diffusion images to model a distribution, or spectrum of isotropic and anisotropic water compartments in tissue. The spectrum parameters can then be used to isolate the signal contribution from intracellular restricted water molecules, while attenuating the signal contribution from the extracellular hindered and free water pools which typically confound conventional DWI [14–17]. The goal is improved conspicuity of highly cellular tumors, which has proven effective in the brain [16–19] and more recently the prostate, though these prior studies were limited by design which involved placement of regions of interest based on knowledge of tumor location [20, 21]. RSI additionally corrects for spatial distortion through acquiring b = 0 images with both forward and reverse phase encoding polarities, and corrects for Eddy currents, allowing for more precise tumor localization and useful in the identification of extraprostatic extension of PCa [20, 22, 23]. 

In this study, we investigated the clinical efficacy of RSI for PCa detection, comparing it directly to current standard-of-care MP-MRI in a blinded reader-based format, which most accurately reflects the current practice model in most centers, to evaluate for true clinical utility of the technique. 



 Institutional review board approval was obtained for this retrospective study, with signed patient consent waived as RSI has been integrated into the standard prostate MRI workflow at our institution as a diffusion tensor imaging product sequence-based technique with multiple b values, anteroposterior/posteroanterior distortion correction, and unique postprocessing. We evaluated 111 patients with imaging consisting of MP-MRI with RSI performed within 6 months of either radical prostatectomy with whole mount pathology or systematic biopsy. The indications for MP-MRI in this patient population are summarized in Table 1. Forty-five patients had already had prior biopsy performed, with 40 returning results positive for PCa. Required pulse sequences included T1WI, T2WI, DCE, DWI (including ADC maps), and RSI. Eleven patients were excluded from the study due to lack of an available ADC map for the evaluation (Fig. 1). 

MRI acquisition 

All studies were performed on a 3.0-T GE Signa HDxt scanner (GE Medical Systems, Milwaukee, WI) using a cardiac surface coil but without an endorectal coil. Glucagon is not administered at our center to decrease rectal peristalsis and no bowel preparation is performed. The entire prostate is imaged, with axial slices oriented perpendicular to the rectal wall. The following conventional sequences were obtained: axial and coronal T2WI, axial T1WI, axial free-breathing DWI (b values of 0 and 1000 s/mm2 ), and axial freebreathing DCE performed before, during, and after single-dose injection of approximately 20 mL gadobenate dimeglumine (Multihance, Bracco Imaging, Milan, Italy). DCE is performed with 32 output temporal phases at approximately 8 s per phase for a total scan time of approximately 4 min with no injection delay. McCammack et al. 

RSI was performed using spin echo, echo planar imaging at b values of 0, 125, 375, and 1000 s/mm2 with 6, 6, and 15 directions at each respective nonzero b value. The b = 0 s/mm2 images were performed with phase encoding in both the forward and reverse directions to correct for spatial distortion due to magnetic field inhomogeneity. The sequence takes approximately 5 min to perform on the HDxt system. RSI cellularity maps (CMs) were derived using the signal fraction of the restricted isotropic component of the diffusion spectrum [16] and coregistered to axial T2WI images (Fig. 2). RSI-CMs were reconstructed using data from all b values, which were then standardized across all patients to obtain RSI-MRI z score maps. RSI z score maps were calculated by (1) measuring the mean and standard deviation of normal prostate signal from the raw RSI-CM data of a representative normal population (three normal subjects, as determined by radiologist interpretation (DSK), which were separate from the current study population), (2) subtracting the measured mean value from each subject’s CM, and (3) dividing the result by the standard deviation of measured normal prostate. Additional specific sequence parameters are summarized in Table 2. 

Image interpretation 

Three radiologists (SRB, a body imaging fellow with dedicated interest in prostate imaging and over 1 year of experience interpreting prostate MRI; JH, a body imaging fellowshiptrained attending radiologist with over 2 years of experience interpreting prostate MRI; RMM, a body imaging fellowship-trained attending radiologist with over 3 years of experience interpreting prostate MRI) who were each blinded to clinical and laboratory data evaluated MRI cases independently. Overall, three different sets of imaging data were evaluated in two sessions. During the initial session, cases were first scored using just MPMRI (consisting of T1WI and T2WI, DWI with ADC, and DCE), then immediately thereafter scored again using RSI in addition to MP-MRI. After a 4 week wash-out period, the cases were then scored using just RSI and T2WI. Readers were instructed to interpret RSI-CMs as suspicious for PCa when focal/asymmetrically increased signal was identified in the PZ, or within the TZ in areas not clearly corresponding to benign prostatic hyperplasia nodules as suggested by the presence of a hypointense capsule on T2WI. The sextant model was utilized (right and left base, midgland, and apex), with a 5-point Likert scale assigned for each sextant (1, definitely absent; 2, probably absent; 3, indeterminate; 4, probably present; and 5, definitely present). For the purposes of subsequent statistical analyses, reader scores of 4 and 5 were considered positive for PCa by imaging as per precedent established by prior similarly structured studies [7, 24]. Prostate Imaging and Data Reporting System version 2 (PIRADSv2) was not employed. 

Reference standard 

Thirty-three patients underwent prostatectomy. After prostatectomy, each specimen was fixed in 10% neutral-buffered formalin and then embedded in paraffin. Whole mount histopathology was performed on 4-lm-thick sections stained with hematoxylin and eosin (H&E). A board-certified anatomic pathologist with over 24 years of prostate expertise evaluated the pathology, outlining the boundaries of each tumor and assigning a Gleason score (GS) to each identified tumor. McCammack et al. Page 4 Abdom Radiol (NY). Author manuscript; available in PMC 2017 April 11. Author Manuscript Author Manuscript Author Manuscript Author Manuscript Biopsy results were used as the reference standard in 67 patients. Twelve cores are routinely performed at our institution via the extended sextant model, and are then interpreted by experienced genitourinary pathologists, assigning GS to each core as well as a percentage core involvement with PCa, when present. While biopsy targeting planning served as the study indication for 11 of our patients, overall biopsy targeting was performed in 23 patients for whom biopsy served as the reference standard. Otherwise, systematic biopsy core locations were defined by the urologist at the time of sampling, and were unable to be definitively correlated with MRI imaging. For this evaluation, distinction was made between high and low/intermediate grade cancer, as per precedent established by prior Standards of Reporting for MRI-targeted Biopsy Studies working group recommendations [4, 5, 25]. Specifically, GS greater than or equal to 4 + 3=7 was considered as high grade. 

Statistical analysis 

Receiver operating characteristic (ROC) curves were created using maximum-likelihood estimation for each reader and each of the three imaging sets. Analysis was first performed on the sextant level overall, and then using the prostatectomy cases alone. Additionally, because one-to-one matching was not performed for the whole mount pathology, and because prostate midgland definition can vary from practitioner to practitioner, a sidedness evaluation was undertaken to maximize the PCa detection rate. Area under the ROC curve (AUC) was used as a general indicator of quality and compared across data sets using the nonparametric method proposed by Obuchowski [26]. Comprehensive comparisons were made by covarying for reader. Sensitivity, specificity, positive predictive value, and negative predictive value on the sextant level were calculated. For all tests, P values of <0.05 were denoted as statistical significance. 

Inter-reader agreement analysis was performed using kappa statistics with quadratic weights. Cohen’s Kappa was performed to evaluate agreement between any two readers, while the adapted Fleiss Kappa was used to assess agreement between all three readers simultaneously. Kappa values of 0–0.20 denoted slight agreement, 0.21–0.40 fair agreement, 0.41–0.60 moderate agreement, 0.61–0.80 substantial agreement, and 0.81–1 almost perfect agreement [27]. 

All statistical analyses were performed using R version 3.1.2 software (The R Foundation for Statistical Computing, Vienna, Austria). 



 PCa was present in 67 of 100 patients (67%) and 176 of 600 sextants (29%). High-grade PCa specifically was identified in 30 of 100 patients (30%) and 88 of 600 sextants (15%). Additional GS information as well as clinical data are summarized in Table 3. Representative cases of imaging with subsequent histopathology are demonstrated in Fig. 3. McCammack et al. Page 5 Abdom Radiol (NY). Author manuscript; available in PMC 2017 April 11. Author Manuscript Author Manuscript Author Manuscript Author Manuscript 

Diagnostic performance 

For the identification of all PCa as well as specifically high-grade PCa, MP-MRI in combination with RSI produced superior performance (Table 4). On the sextant level, MPMRI with RSI produced a combined AUC of 0.66 for all PCa and 0.78 for specifically highgrade PCa. This improved capability of MP-MRI plus RSI over MP-MRI alone was statistically significant for all three readers for all PCa (P < 0.001) and specifically highgrade PCa (P < 0.001). Hemigland analysis produced similar results, with superior performance of MP-MRI plus RSI relative to MP-MRI alone for all PCa (P = 0.001) and specifically high-grade PCa (AUC of 0.85 vs. 0.79; P = 0.04). 

RSI and T2WI alone on the sextant level produced statistically equivalent performance to MP-MRI for readers 1 and 3 for both all PCa and high-grade PCa. For reader 2, RSI and T2WI outperformed MP-MRI on the sextant level (P < 0.001 for all PCa and P = 0.03 for high-grade PCa) (Table 4). Hemigland analysis demonstrates similar AUCs when comparing RSI and T2WI with MP-MRI (e.g., AUCs of 0.80 vs. 0.79; P = 0.77 for high-grade disease), with reader 2 trending toward superior performance using RSI + T2WI (Table 4). Sensitivity, specificity, positive and negative predictive value figures on the sextant basis are listed in the supplementary Table. 

Inter-reader agreement 

By accepted criteria, there was moderate agreement for all imaging protocols for all comparisons between any two readers as well as between all three simultaneously [27]. There was a trend toward increased inter-reader agreement with incorporation of RSI, with the greatest agreement utilizing RSI and T2WI alone. Between readers 1 and 2, actually there was substantial agreement with RSI and T2WI alone, the only comparison to reach that level within this data set (Table 5). 


Our data indicate that RSI combined with MP-MRI improves PCa detection, and that RSI + T2WI may perform similarly to or better than MP-MRI. Additionally, our study suggests that RSI may promote greater consensus in reader interpretation, with inter-reader agreement increasing when RSI is combined with MP-MRI and most uniform when readers use RSI alone, though admittedly the effect was modest in this study. 

Prior studies have supported the importance of diffusion techniques, particularly conventional DWI, in MP-MRI for PCa detection, and localization [3, 7–12]. With more robust gradient performance made possible by improved scanner technologies, advanced diffusion techniques have been devised and methodologies such as diffusion kurtosis imaging have been evaluated for PCa identification with mixed results to date [28–30]. RSI is an advanced diffusion technique that employs multiple b values and multiple directions to focus recorded signal from the isotropic, truly restricted pool of water molecules in tissue. RSI can be acquired on any 3 Tesla imaging platform and the post-processing performed on any independent workstation via readily available post-processing software. The goal is improved conspicuity of cellular lesions, originally devised for the evaluation of brain McCammack et al. Page 6 Abdom Radiol (NY). Author manuscript; available in PMC 2017 April 11. Author Manuscript Author Manuscript Author Manuscript Author Manuscript tumors [16–19], and applied more recently with promise in the prostate [20, 21]. This study is the first reader-based evaluation of RSI for PCa detection and localization. 

RSI may provide a viable diagnostic MRI option to those patients for whom MP-MRI is not possible, most notably those with contraindications to intravenous contrast material due to renal insufficiency or allergy, or those unable to tolerate prolonged scan times. The sequence is achieved without the need for any intravenous gadolinium administration and requires only up to 5 min depending on scanner type and gradient performance. These data also raise the possibility of evaluating RSI + T2WI in isolation as a short, targeted screening exam in at risk individuals. Our data suggest these patients will have the benefit of comparable reader interpretation performance using RSI as those with the more exhaustive MP-MRI. 

Reader interpretations also demonstrated less variability when RSI was incorporated with MP-MRI, and inter-reader agreement was in fact the highest when RSI was evaluated in isolation. This suggests that in addition to the improved PCa detection allowed by RSI, it also provides greater consistency between readers perhaps through relative ease of interpretation. MP-MRI involves numerous sequences and its interpretation is relatively labor intensive; it is possible that through processing these data involved, readers become more prone to variability in their analyses. RSI color maps are simply overlaid on T2WI and require much less reader effort due to the clarity and relative paucity of images compared to MP-MRI, at a comparable rate of performance. 

Prior reader-based evaluations of current standard-of-care MP-MRI for PCa detection demonstrate AUC figures ranging from as low as 0.67 to as high as 0.90 [6, 7, 31]. Our results fall within this range, albeit toward the lower end. This may be due to the fact that our cases represent predominantly low-grade PCa, which is known to be detected less accurately than high-grade PCa by MRI [24]. Additionally, approximately two-thirds of our cases utilized biopsy results as the tissue standard which would be expected to adversely impact our calculations due to known inaccuracies associated with biopsy compared to prostatectomy [32–34]. Further, one-to-one matching between imaging, biopsy, and prostatectomy was not performed, which may allow variations in anatomic definition between practitioners to adversely affect our figures. Specifically, while definitions of apex, midgland, and base may differ between imaging interpretation, biopsy location definition based on ultrasound, and pathologic evaluation of prostatectomy specimens, sidedness would be expected to remain constant. Hemigland analysis performed to address this possibility did in fact increase our AUC calculations more toward published numbers [6, 7, 31]. Lastly, our readers are at the early stages of their careers, with a maximum of 3 years of dedicated experience, whereas prior studies utilized more senior readers [6, 7, 31]. While this may adversely impact our AUC calculations, the demonstrated efficacy of RSI in relatively naïve readers may actually serve as a study strength, supporting the generalizability of this technique to a wide audience. It is important to note, however, that this study was not designed to compare with prior published AUC data, but rather to directly compare the performance of RSI to MP-MRI. We contend the above factors are effectively controlled for across the different imaging protocols in this study, as the same tissue standard and readers were used throughout. Further, the same trends hold with the data stratified between patients with biopsy results vs. those with whole mount pathology. McCammack et al. Page 7 Abdom Radiol (NY). Author manuscript; available in PMC 2017 April 11. Author Manuscript Author Manuscript Author Manuscript Author Manuscript Our study has possible limitations in addition to those already discussed above. First, we did not differentiate between PZ and TZ PCa in this study as systematic biopsies at our institution do not routinely differentiate between these regions. Given that two-thirds of our cases relied upon biopsy tissue for analysis, we were limited in our ability to distinguish between PZ and TZ PCa in this population. It would be useful to evaluate the performance characteristics of RSI relative to MP-MRI in both the PZ and TZ in the future. TZ PCa imaging is a known challenge confronting MP-MRI, and we would expect RSI to perform well in comparison due to its decreased vulnerability to background tissue heterogeneity by theoretically focusing on signal arising from within cells themselves. Second, due to the retrospective study design, there was some inevitable variation between MRI and the acquisition of the tissue standard for comparison that could likely be minimized in a prospective design. Given the indolent progression of PCa, this is likely of minimal impact. Finally, no cost analysis was performed to evaluate the impact of implementation of this technology. In summary, RSI shows promise for PCa detection and localization, statistically improving the ability of readers to localize disease when used in combination with MP-MRI. Further, RSI and T2WI in isolation allows performance comparable to MP-MRI, which may allow adequate imaging in patients unable to receive intravenous contrast material, those unable to tolerate long imaging times, or as a potential surrogate for MP-MRI in specific clinical situations.


Kevin C. McCammack1, Natalie M. Schenker-Ahmed1, Nathan S. White1, Shaun R. Best1, Robert M. Marks2, Jared Heimbigner2, Christopher J. Kane3, J. Kellogg Parsons3, Joshua M. Kuperman1, Hauke Bartsch1, Rahul S. Desikan1, Rebecca A. Rakow-Penner1, Michael A. Liss4, Daniel J. A. Margolis5, Steven S. Raman5, Ahmed Shabaik6, Anders M. Dale1,7, and David S. Karow1